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Natural Language Generation Using Link Grammar for General Conversational Intelligence

2021-04-19 06:16:07
Vignav Ramesh, Anton Kolonin
arXiv_AI
     
Abstract

Many current artificial general intelligence (AGI) and natural language processing (NLP) architectures do not possess general conversational intelligence--that is, they either do not deal with language or are unable to convey knowledge in a form similar to the human language without manual, labor-intensive methods such as template-based customization. In this paper, we propose a new technique to automatically generate grammatically valid sentences using the Link Grammar database. This natural language generation method far outperforms current state-of-the-art baselines and may serve as the final component in a proto-AGI question answering pipeline that understandably handles natural language material.

Abstract (translated)

URL

https://arxiv.org/abs/2105.00830

PDF

https://arxiv.org/pdf/2105.00830.pdf

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